Instructions to use 54093LEE/Qwen2.5-7B-JavaScript with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 54093LEE/Qwen2.5-7B-JavaScript with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("54093LEE/Qwen2.5-7B-JavaScript", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use 54093LEE/Qwen2.5-7B-JavaScript with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf 54093LEE/Qwen2.5-7B-JavaScript # Run inference directly in the terminal: llama cli -hf 54093LEE/Qwen2.5-7B-JavaScript
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf 54093LEE/Qwen2.5-7B-JavaScript # Run inference directly in the terminal: llama cli -hf 54093LEE/Qwen2.5-7B-JavaScript
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf 54093LEE/Qwen2.5-7B-JavaScript # Run inference directly in the terminal: ./llama-cli -hf 54093LEE/Qwen2.5-7B-JavaScript
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf 54093LEE/Qwen2.5-7B-JavaScript # Run inference directly in the terminal: ./build/bin/llama-cli -hf 54093LEE/Qwen2.5-7B-JavaScript
Use Docker
docker model run hf.co/54093LEE/Qwen2.5-7B-JavaScript
- LM Studio
- Jan
- Ollama
How to use 54093LEE/Qwen2.5-7B-JavaScript with Ollama:
ollama run hf.co/54093LEE/Qwen2.5-7B-JavaScript
- Unsloth Desktop
- Docker Model Runner
How to use 54093LEE/Qwen2.5-7B-JavaScript with Docker Model Runner:
docker model run hf.co/54093LEE/Qwen2.5-7B-JavaScript
- Lemonade
How to use 54093LEE/Qwen2.5-7B-JavaScript with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull 54093LEE/Qwen2.5-7B-JavaScript
Run and chat with the model
lemonade run user.Qwen2.5-7B-JavaScript-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
Download tokenizer.json from 54093LEE/Qwen2.5-7B-JavaScript: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/54093LEE/Qwen2.5-7B-JavaScript/resolve/8dcf516f47ead7dc83ea6c4275ac2dec7590d91d/tokenizer.json
- Command line
-
hf download hf://54093LEE/Qwen2.5-7B-JavaScript@8dcf516f47ead7dc83ea6c4275ac2dec7590d91d/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/54093LEE/Qwen2.5-7B-JavaScript/resolve/8dcf516f47ead7dc83ea6c4275ac2dec7590d91d/tokenizer.json
11.4 MB
- Xet hash:
- 18f5ee8c52e9d225044dd7ef664f390226accb3a4e27ac5d3e5a71e8a4eebf2a
- Size of remote file:
- 11.4 MB
- SHA256:
- fab42efe8d17406525a9154b728cf9e957629a8ed7ce997770efdd71128c6a1a
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